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Senior Python Developer - Generative AI and Data Analysis

Altimetrik — Canada · Posted ~1 day ago

Senior Full-time Hybrid

Skills

Python Object-oriented programming Functional programming Data structures Algorithms Complexity analysis Data lineage analysis Static code analysis Generative AI LLM prompt design Tool/function calling AI agent orchestration RAG Vector search API development Backend services CI/CD Data transformation LLMs REST APIs

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Summary ✨ AI‑Generated

A technology services organization is looking for an experienced Python Developer to build intelligent software solutions combining advanced code analysis and generative AI. You will work with LLMs, prompt engineering, tool calling, agent orchestration, retrieval-augmented generation, APIs, backend services, and automated deployment pipelines. Strong software engineering fundamentals and data processing skills are essential. This full-time hybrid opportunity is suited to an engineer who enjoys complex technical challenges.

Highlights

Join a full-time hybrid engineering role combining advanced Python development with generative AI and LLM technologies. Work on static code analysis, intelligent agents, API services, CI/CD pipelines, and data transformation while solving technically challenging problems in a collaborative environment.

Description

Python Developer( 8+ years) Fulltime with Altimetrik Mississauga, Canada Hybrid( 2-3 days in a week onsite) Required Skills Strong Python development with solid object-oriented and functional design skills.Software engineering fundamentals: data structures, algorithms, and complexity analysis.Data lineage / data flow analysis: parsing and analyzing source code (AST-based and pattern-based static analysis) and comfort reading multiple languages.Hands-on Gen AI/LLM experience: prompt design, tool/function calling, and agent orchestration.Understanding of retrieval-augmented generation and vector/semantic search concepts.Experience designing APIs and backend services, plus the front-end fundamentals to build usable interfaces.Pipeline and deployment experience: build/test automation, CI/CD, and releasing across environments.Data manipulation and transformation skills.